Vectors, dot and cross products, lines and planes, projections. Vectors in n-space. Systems of Linear equations. Matrix algebra and linear transformations, inverses. Spaces and subspaces. Linear independence, basis and coordinates, dimension, rank. Determinants, Cramer’s Rule. Eigenvectors, eigenvalues and diagonalization with applications. Orthonormal bases and symmetric matrices. (42/0/0/0/0)
